Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Research on the Construction of Literature Information Resources in University Libraries under the Background of Big Data

Authors
Ma XiuHua, Li GeMin
Corresponding Author
Ma XiuHua
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.187How to use a DOI?
Keywords
Big data; University library; Information resources construction
Abstract

With the development and popularization of information technology, big data has become a hot topic among scholars. In the past dozens of years, big data had penetrated into every aspect of the society and had been widely applied. In order to adapt to the trend of information technology, the construction of literature information resources in university libraries should be changed under the background of big data. How to make full use of information resources to provide better services to students has become a problem that library management personnel must solve.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemc-17.2017.187How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ma XiuHua
AU  - Li GeMin
PY  - 2016/06
DA  - 2016/06
TI  - Research on the Construction of Literature Information Resources in University Libraries under the Background of Big Data
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 922
EP  - 925
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.187
DO  - https://doi.org/10.2991/icemc-17.2017.187
ID  - XiuHua2016/06
ER  -